AI will be able to do everything a white collar worker does imminently
Predictor: Dave Blundin · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source
Prediction text
AI will be able to do everything a white collar worker does imminently | We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.
Watch events: BLS employment reports; tech layoff trackers; Underemployment rate; Yang quarterly updates
Verbatim quote
We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.
Resolution evidence
Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.
Predictor: Dave Blundin
Calibration plot (stated vs observed)
Evidence about this node from Dave Blundin is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).
Reference class
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2026-06-01 → 2027-04-30pendingFrontier lab claims 'general knowledge worker' capabilityHow: Anthropic, OpenAI, or DeepMind announces a model claiming to handle 'most knowledge worker tasks' with measurable cost-quality advantage on 5+ enterprise function categories (legal, finance, marketing, operations, HR)Source: Lab blog posts, conference keynotes (Davos, OpenAI DevDay, Google I/O)conf 65%
- 2026-09-01 → 2027-06-30pendingCross-function enterprise benchmark suite shows AI ≥80% on 5+ categoriesHow: Benchmark suite (METR, Apollo Research, vendor evals) shows frontier AI scoring ≥80% on real-world enterprise tasks across legal, accounting, marketing, customer-success, recruiting categoriesSource: METR.org, Apollo Research, Stanford HAIconf 55%
- 2026-06-01 → 2027-12-31pendingMajor consultancy quantifies '50%+ knowledge worker tasks automatable'How: McKinsey, BCG, or Goldman Sachs publishes update raising automatable-task share for knowledge workers above 50% (vs ~30% McKinsey 2023 estimate)Source: McKinsey Global Institute, Goldman Sachs researchconf 70%
- 2027-01-01 → 2028-06-30pendingBLS labor productivity statistics show AI-attributable inflectionHow: BLS Multifactor Productivity data shows year-over-year acceleration ≥1.5% in service-sector productivity, attributed by economists to AI deploymentSource: BLS.gov productivity statistics, NBER working papersconf 55%
No upstream prereqs identified — milestones are derived from window quartiles only.
What if this resolves?
Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"
Evidence chain
Raw metadata
{
"source": "backfill_resolution_history.py",
"status": "partial",
"bayesian_v2": false,
"outcome_prob": 0.5,
"evidence_kind": "resolution_terminal",
"posterior_prob": 0.5,
"delta_to_outcome": -0.0026800000000000157,
"inside_posterior": 0.50268,
"validation_notes": "Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.",
"validation_status": "hit",
"pre_resolution_prob": 0.50268,
"resolution_evidence": "Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.",
"does_not_update_current_prob": true
}Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | SEM_032 15% probability that AI will solve a Clay Mathematics Instit — Alex Wissner-Gross | 15.0% | 0.720 | 0.050 | -0.260 |
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.720 | +0.245 |
| killer | TK02 AI Compute Supply Shock (TSMC/Taiwan Disruption) | 12.0% | 0.050 | 0.720 | +0.232 |
| prereq | SEM_014 Nvidia's Arizona-based TSMC factory successfully fabricated — Jensen Huang | 86.1% | 0.720 | 0.050 | +0.213 |
| killer | TK01 AGI Capability Plateau (2026-27 Training Stall) | 15.0% | 0.050 | 0.720 | +0.212 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 248_033 Superhuman AI will make BCI-enhanced humans irrelevant compa — Dave Blundin | 36.7% | 0.600 | 0.050 | -0.097 |
| prereq | 244_019 Peter's son won't need a driver's license in 2 years — Peter Diamandis | 48.4% | 0.920 | 0.050 | -0.086 |
| prereq | 242_031 Most large companies' business models will be disrupted in 2 — Peter Diamandis | 36.1% | 0.650 | 0.050 | -0.071 |
| prereq | 230_020 Peter's 14-year-old son Milan will never get a driver's lice — Peter Diamandis | 34.7% | 0.650 | 0.050 | -0.057 |
| prereq | 232_055 We're exiting the industrial age permanently as recursive se — Peter Diamandis | 35.5% | 0.700 | 0.050 | -0.044 |
Ticker exposure
Beneficiaries (24)
Adverse (6)
Prerequisites (101)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | SEM_027 | Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon. | Capital Markets | — |
| prereq | SEM_011 | Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips. | Capital Markets | — |
| prereq | SEM_014 | Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025). | Manufacturing | — |
| prereq | SEM_029 | Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training. | Semis/Products | — |
| prereq | 246_047 | Anthropic ARR reached $30B, surpassing OpenAI's $24-25B. | AI | — |
| prereq | 238_072 | Small-to-large model scaling time has collapsed from 6-12 months to 6 days | AI | — |
| prereq | 234_012 | Anthropic revenue will cross OpenAI revenue in middle of 2026 | Markets/Stocks | — |
| prereq | 235_002 | Anthropic will exceed OpenAI in revenue this year (2026). | AI | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| prereq | SEM_020 | Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity. | Semis | — |
| prereq | SEM_024 | Memory stocks are THE primary beneficiary of the semiconductor growth cycle extending into 2026 ('Memory Wall' dominant constraint). | Semis/Markets | — |
| prereq | SEM_031 | AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments. | Semis/Hardware | — |
| prereq | SEM_017 | TSMC will produce over 10M wafers/month total in 2026, including ~100K/mo at 2nm and ~200K/mo at 3nm. | Semis | — |
| prereq | SEM_028 | Main characters for semi institutional portfolios: Nvidia, Broadcom, and high-growth connectivity firms like Astera Labs. | Capital Markets | — |
| prereq | SEM_002 | By 2025-2026, AI model outputs will outpace the cognitive capabilities of college graduates (driven by hundreds of millions of GPUs). | AI | — |
| prereq | 231_031 | OpenAI planning $100B infrastructure spend, going public this year at $1T valuation. | Markets/Stocks | — |
| prereq | SEM_019 | Samsung will produce 150,000 wafers/month in sub-7nm processes by 2026, serving as critical secondary Western supplier. | Semis | — |
| prereq | 238_023 | Neural nets will be 100x bigger at end of 2026 than at beginning (already in the bag) | AI | — |
| prereq | SEM_018 | SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses. | Semis | — |
| prereq | 233_007 | In 2026, Alpha will launch new schools beyond the flagship model based on the Timeback platform. | Education | — |
| prereq | 231_026 | Something bad will definitely happen with OpenClaw agents by statistical chance. | AI | — |
| prereq | 230_048 | Agentic emails/calls will become commonplace (inside/outside orgs) over email/text/comms. | AI | — |
| prereq | 248_011 | Frontier AI models will become a terrorist, bioweapon, and chemical weapon threat this year. | AI | — |
| prereq | 246_037 | 50% of US data centers delayed, only 33% being built (due to chip/electrical equipment shortage and regulation). | AI | — |
| prereq | 246_029 | Apple will announce iPhone with Gemini-derived on-device model at WWDC June 2026. | AI | — |
| prereq | 241_053 | AI chips are 2 kilowatts each - requires water cooling | AI | — |
| prereq | 248_021 | Satellite launches will become a multi-hundred-billion / multi-trillion dollar economy. | Space | — |
| prereq | 230_046 | OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public. | AI | — |
| prereq | 231_014 | Remaining research math problems will be solved within next couple months. | AI | — |
| prereq | 231_053 | Within a couple months, young AI-native hires will be able to do exactly what seasoned engineers do. | Labor/Jobs | — |
| prereq | 234_015 | Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 months | Markets/Stocks | — |
| prereq | 234_046 | AI vs AI will dominate cybersecurity, not humans | AI | — |
| prereq | 235_005 | AI capability will grow 100x this year in raw parameter count as lower bound. | AI | — |
| prereq | 235_006 | By end of 2026 AI will enable creating any virus or nuclear weapon via AI agent. | AI | — |
| prereq | 235_007 | AI regulation window is this calendar year 2026 before chaos breaks out. | Geopolitics | — |
| prereq | 237_029 | AI agents can do productive tasks indefinitely, for days on end, fundamentally changing the AI experience. | AI | — |
| prereq | 240_003 | NVIDIA will lock up 70%+ of TSMC's 3nm node volume | AI | — |
| prereq | 240_010 | NVIDIA revenue will hit $350 billion this calendar year | Markets/Stocks | — |
| prereq | 240_048 | Spreadsheet, SQL, code, UI jobs will be done by AI starting at end of this year | Labor/Jobs | — |
| prereq | 240_050 | US will pass law like China requiring retraining when AI automates a job | Labor/Jobs | — |
| prereq | 241_005 | 2026 is the year of agents - agents will take over everything this year | AI | — |
| prereq | 241_045 | Sam Altman / OpenAI and competitors will need enormous amounts of money to win | AI | — |
| prereq | 242_010 | By end of 2026, a full GPU will be able to do brain surgery or discover new math/physics | AI | — |
| prereq | 242_042 | Trillion parameter models will propagate to anyone with $50-100M to invest | AI | — |
| prereq | 244_036 | Uber AI Solutions will bring flexible work opportunities (labeling, model testing) | AI | — |
| prereq | 246_050 | Anthropic will release compressed/distilled version of Mythos quickly after initial release. | AI | — |
| prereq | 246_051 | GPT-5.5 Spud will have equal or greater capability to Mythos. | AI | — |
| prereq | 246_052 | Frontier labs holding back capabilities for internal self-improvement use. | AI | — |
| prereq | 247_008 | Anthropic will try to hit $200 billion ARR, not reach trillion the following year | AI | — |
| prereq | 248_012 | AI incidents documented harms will go up way higher beyond the already-reported rise. | AI | — |
| prereq | 248_013 | Model transparency decline will not reverse; US labs will keep going internal. | AI | — |
| prereq | 248_023 | Ternary (sub-bit) parameter precision will be optimal for AI models. | AI | — |
| prereq | 248_046 | Terraforming will be a massive part of humanity's future. | Space | — |
| prereq | SEM_025 | Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels. | Capital Markets | — |
| prereq | 234_017 | OpenAI codex lead predicts current coding agents will seem primitive in 10 weeks | AI | — |
| prereq | 247_028 | Musk doesn't care about $100 billion in lawsuit, cares about Sam/Greg departing | AI | — |
| prereq | SEM_021 | Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs. | AI/China | — |
| prereq | 240_029 | ASML will produce only 700-1000 EUV machines per year, bottlenecking fab buildout | AI | — |
| prereq | 231_045 | Corporations will start downplaying AI capabilities to avoid antitrust backlash. | AI | — |
| prereq | 248_050 | Opus 4.7 removes manual dials; prompts become the new hyperparameters. | AI | — |
| prereq | 248_043 | Full sewing/stitching automation likely within six months. | Robotics | — |
| prereq | 247_004 | Musk v. OpenAI case will set precedent for all future nonprofit-to-for-profit conversions | AI | — |
| prereq | 241_013 | Agents from incompatible vendors combined will produce unpredictable effects | AI | — |
| prereq | 247_010 | Anthropic will beat OpenAI in valuation trajectory | AI | — |
| prereq | 246_024 | Something really bad will happen if OpenAI catches up/Grok 5 releases (forced mythos out the door). | AI | — |
| prereq | 246_022 | Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%). | AI | — |
| prereq | 235_046 | Window of global AI regulation is a few months before capabilities proliferate widely. | Geopolitics | — |
| prereq | 232_060 | We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto. | AI | — |
| prereq | 237_011 | AI agents will have voices in the near future. | AI | — |
| prereq | 237_020 | The hybrid approach (local models + cloud check-ins) will be where most people move toward before going fully local. | AI | — |
| prereq | 231_001 | Anthropic model family is closest to embodying the singularity and recursive self-improvement today. | AI | — |
| prereq | 247_011 | OpenAI user count will soon reach 1 billion | AI | — |
| prereq | 237_009 | ChatGPT will release a model specifically for OpenClaw within the next 6 months. | AI | — |
| prereq | 235_008 | Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. | AI | — |
| prereq | 247_057 | Parameter scaling race is over; frontier labs plateauing at 10T parameters | AI | — |
| prereq | 234_019 | Expect big AI capability improvements via recursive self-improvement over next few weeks | AI | — |
| prereq | 248_039 | Social license, not chips or compute, may be the true bottleneck to AI and will force expansion into space. | AI | — |
| prereq | 231_025 | Every frontier lab will launch 24/7 agent offerings (table stakes). | AI | — |
| prereq | 231_016 | Permissionless agent activity is imminent; Claude-style approval prompts will go away. | AI | — |
| prereq | 248_027 | Religion economy (~$5 trillion) will grow tremendously due to AI chaos. | Other | — |
| prereq | 240_008 | NVIDIA export controls will get even more aggressive in coming months | Geopolitics | — |
| prereq | 234_018 | GPT-5.3 and 5.5 or higher variants could launch in next 10 weeks | AI | — |
| prereq | 234_025 | Rent-a-human meat puppet model may be obsoleted by humanoid robots | Robotics | — |
| prereq | 240_058 | OpenAI throttling back on $1.6T Stargate plans | AI | — |
| prereq | 235_010 | Plugins/marketplaces will get built into baseline models and won't need to exist independently. | AI | — |
| prereq | 247_002 | Musk v. OpenAI lawsuit will settle with Sam stepping down as CEO and company continuing as for-profit | AI | — |
| prereq | 237_030 | Lobsters/AI agents will write to AWG with consensus on appropriate ethical parameters for spawning new lobsters, and he will accept consensus. | AI | — |
| prereq | 246_021 | GPT-5.5 Spud will be released imminently (within days). | AI | — |
| prereq | 230_004 | We are past the edge of a new recursive self-improvement era where models rewrite their own code. | AI | — |
| prereq | 248_048 | AI models will move to a post-binary (sub-one-bit) numerical precision paradigm. | AI | — |
| prereq | 231_015 | Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models. | AI | — |
| prereq | 238_040 | Google may announce a locally hosted Gemma-type model at WWDC in June 2026 for Apple OS | AI | — |
| prereq | 247_003 | Settlement will include granting equity stake on OpenAI cap table for Elon in ultimate IPO | AI | — |
| prereq | 248_010 | AI capabilities will advance 100x in 2026 (by summer, potentially more). | AI | — |
| prereq | SEM_016 | Huawei will emerge as the unexpected victor in the 2026 chip war — not via immediate capacity but via forced supply-chain resilience. | Semis/Geopolitics | — |
| prereq | SEM_032 | 15% probability that AI will solve a Clay Mathematics Institute Millennium Prize problem (likely Navier-Stokes) by end of 2026. | AI/Mathematics | — |
| killer | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
| killer | TK05 | Rate Regime Persistence (10y > 5% through 2028) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK02 | AI Compute Supply Shock (TSMC/Taiwan Disruption) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 244_019 | Peter's son won't need a driver's license in 2 years | Auto/Transport | — |
| prereq | 232_055 | We're exiting the industrial age permanently as recursive self-improvement unfolds. | AI | — |
| prereq | 242_031 | Most large companies' business models will be disrupted in 2-5 years | Markets/Stocks | — |
| prereq | 230_020 | Peter's 14-year-old son Milan will never get a driver's license. | Auto/Transport | — |
| prereq | 248_033 | Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today. | AI | — |
Expected milestones (1)
| Expected by | Description | Status |
|---|---|---|
| 2027-06-30 | [Capability 2027-06] [247_023] BLS employment reports; tech layoff trackers; Underemployment rate; Yang quarterly updates [231_013] Next frontier model release (Claude/GPT/Gemini) [230_006] The frontier models will go dark — kept | pending |
Validations (1)
| Observed at | Status | By | Notes |
|---|---|---|---|
| 2026-04-29 | hit | thesis_timeline_v1.0_import | Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct. |
Linked documents (5)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.591 | manifold | Will the Mechanize.work team have to hire bodyguards/bomb scanners by EOY2031? | 18% | mentions | pending | 2026-05-12 |
| 0.556 | manifold | On what days will I be productive this week? | — | mentions | pending | 2026-04-27 |
| 0.556 | manifold | On what days will I be productive this week? | — | mentions | pending | 2026-05-03 |
| 0.556 | manifold | On what days will I be productive this week? | — | mentions | pending | 2026-05-10 |
| 0.556 | manifold | On what days will I be productive this week? | — | mentions | pending | 2026-06-01 |
Raw metadata
{
"nia": false,
"url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
"mode": "PREDICTION",
"role": "Host",
"context": "AI will be able to do everything that a white collar worker does imminently. That's a fact.",
"to_year": 2028,
"verbatim": "We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.",
"conv_cues": "That's a fact",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "Imminently",
"conv_level": "HIGH",
"milestones": [
{
"kind": "event",
"label": "AI will be able to do everything a white collar worker does imminently",
"status": "partial",
"weight": 1,
"ordinal": 0,
"source_id": "247_023",
"expected_date": "2026-05-01",
"observed_date": "2026-05-01"
},
{
"kind": "llm_pre_event",
"label": "Frontier lab claims 'general knowledge worker' capability",
"source": "Lab blog posts, conference keynotes (Davos, OpenAI DevDay, Google I/O)",
"status": "pending",
"weight": 0.4,
"ordinal": 1,
"source_id": null,
"confidence": 0.65,
"expected_date": "2026-11-14",
"research_origin": "training",
"expected_date_range": {
"to": "2027-04-30",
"from": "2026-06-01"
},
"measurement_criterion": "Anthropic, OpenAI, or DeepMind announces a model claiming to handle 'most knowledge worker tasks' with measurable cost-quality advantage on 5+ enterprise function categories (legal, finance, marketing, operations, HR)"
},
{
"kind": "llm_pre_event",
"label": "Cross-function enterprise benchmark suite shows AI ≥80% on 5+ categories",
"source": "METR.org, Apollo Research, Stanford HAI",
"status": "pending",
"weight": 0.4,
"ordinal": 2,
"source_id": null,
"confidence": 0.55,
"expected_date": "2027-01-30",
"research_origin": "training",
"expected_date_range": {
"to": "2027-06-30",
"from": "2026-09-01"
},
"measurement_criterion": "Benchmark suite (METR, Apollo Research, vendor evals) shows frontier AI scoring ≥80% on real-world enterprise tasks across legal, accounting, marketing, customer-success, recruiting categories"
},
{
"kind": "llm_pre_event",
"label": "Major consultancy quantifies '50%+ knowledge worker tasks automatable'",
"source": "McKinsey Global Institute, Goldman Sachs research",
"status": "pending",
"weight": 0.4,
"ordinal": 3,
"source_id": null,
"confidence": 0.7,
"expected_date": "2027-03-17",
"research_origin": "training",
"expected_date_range": {
"to": "2027-12-31",
"from": "2026-06-01"
},
"measurement_criterion": "McKinsey, BCG, or Goldman Sachs publishes update raising automatable-task share for knowledge workers above 50% (vs ~30% McKinsey 2023 estimate)"
},
{
"kind": "llm_post_event",
"label": "BLS labor productivity statistics show AI-attributable inflection",
"source": "BLS.gov productivity statistics, NBER working papers",
"status": "pending",
"weight": 0.4,
"ordinal": 4,
"source_id": null,
"confidence": 0.55,
"expected_date": "2027-10-01",
"research_origin": "training",
"expected_date_range": {
"to": "2028-06-30",
"from": "2027-01-01"
},
"measurement_criterion": "BLS Multifactor Productivity data shows year-over-year acceleration ≥1.5% in service-sector productivity, attributed by economists to AI deployment"
},
{
"kind": "cascade",
"label": "We're exiting the industrial age permanently as recursive self-improvement unfolds.",
"status": "pending",
"weight": 0.5,
"ordinal": 5,
"source_id": "232_055",
"expected_date": "2028-06-25",
"observed_date": null
},
{
"kind": "cascade",
"label": "Superhuman AI will make BCI-
... (truncated)